AWS re:Invent 2016: NEW LAUNCH! AWS announced several new services and capabilities including elastic GPUs for EC2, new EC2 instance types like T2.xlarge and T2.2xlarge, next generation R4 memory optimized instances, programmable F1 instances, Amazon Lightsail for simple virtual private servers, interactive queries on data in S3 with Amazon Athena, image and facial recognition with Amazon Rekognition, text-to-speech with Amazon Polly, natural language processing with Amazon Lex, PostgreSQL compatibility for Amazon Aurora, local compute and messaging for connected devices with AWS Greengrass, petabyte-scale data transport with storage and compute using AWS Snowball Edge and AWS Snow
Serverless architectures can eliminate the need to provision and manage servers required to process files or streaming data in real time. In this session, we will cover the fundamentals of using AWS Lambda to process data from sources such as Amazon DynamoDB Streams, Amazon Kinesis, and Amazon S3. We will walk through sample use cases for real-time data processing and discuss best practices on using these services together. We will then demonstrate run a live demonstration on how to set up a real-time stream processing solution using just Amazon Kinesis and AWS Lambda, all without the need to run or manage servers.
Learning Objectives:
• Learn the fundamentals of using AWS Lambda with various AWS data sources
• Understand best practices of using AWS Lambda with Amazon Kinesis
Who Should Attend:
• Developers
Serverless architectures can eliminate the need to provision and manage servers required to process files or streaming data in real time. In this session, we will cover the fundamentals of using AWS Lambda to process data from sources such as Amazon DynamoDB Streams, Amazon Kinesis, and Amazon S3. We will walk through sample use cases for real-time data processing and discuss best practices on using these services together. We will then demonstrate run a live demonstration on how to set up a real-time stream processing solution using just Amazon Kinesis and AWS Lambda, all without the need to run or manage servers.
Learning Objectives:
• Learn the fundamentals of using AWS Lambda with various AWS data sources
• Understand best practices of using AWS Lambda with Amazon Kinesis
Who Should Attend:
• Developers
Monitoring Containers at Scale - September Webinar SeriesAmazon Web Services
Containers come and go rapidly, which is great for scalable or fast-evolving infrastructure. However, the short life of containers make it more challenging to monitor, leaving many with questions such as: How many containers can you run on a given Amazon EC2 instance type? Which metric should you look at to measure contention? How do you manage fleets of containers at scale? In this session, we'll present the challenges and benefits of running containers at scale, how to use quantitative performance patterns to monitor your infrastructure at this magnitude and complexity, and we'll discuss proven strategies for monitoring your containerized infrastructure on AWS and ECS.
Learning Objectives:
- Set up the infrastructure to monitor your containers running on AWS
- Understand the metrics available and what they mean
- Define a strategy to monitor your containers
Amazon EC2 forms the backbone compute platform for hundreds of thousands of AWS customers, but how do you go beyond starting an instance and manually configuring it? This presentation will take you on a journey starting with the basics of key management and security groups and ending with an explanation of Auto Scaling and how you can use it to match capacity and costs to demand using dynamic policies.
Access a recorded version of the webinar based on this presentation on YouTube here: http://youtu.be/jLVPqoV4YjU
You can find the rest of the Masterclass webinar series for 2015 here: http://aws.amazon.com/campaigns/emea/masterclass/
If you are interested in learning about how you apply variety of different AWS services to specific challenges, please check out the Journey Through the Cloud series, which you can find here: http://aws.amazon.com/campaigns/emea/journey/
Cloud computing gives you a number of advantages, such as being able to scale your application on demand. As a new business looking to use the cloud, you inevitably ask yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We will show you how to best combine different AWS services, make smarter decisions for architecting your application, and best practices for scaling your infrastructure in the cloud.
In this Masterclass Series webinar AWS Technical Evangelist Ian Massingham describes how to create CloudFormation templates that can be used to create and manage stacks of AWS resources, working with the CloudFormation API and with AWS and non-AWS resources. Lastly, he describes techniques that can be used to bootstrap applications and handle updates with AWS CloudFormation.
Continuous Deployment Practices, with Production, Test and Development Enviro...Amazon Web Services
With AWS companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100% API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session we'll talk about some key concepts and design patterns for Continuous Deployment and Continuous Integration, two elements of lean development of applications and infrastructures.
SEC302 Becoming an AWS Policy Ninja using AWS IAM and AWS OrganizationsAmazon Web Services
Are you interested in becoming an expert in managing access to your AWS resources? Have you ever wondered how to best scope down permissions for least privilege access? Do you have multiple AWS accounts and need to know how to manage access to resources centrally? In this session, we take an in-depth look at AWS Identity and Access Management (IAM) and AWS Organizations. You will learn how to quickly create IAM policies to manage fine-grained access to your resources. Throughout the session, we will cover common use cases, such as how to grant a user access to an Amazon S3 bucket or permissions to launch an Amazon EC2 instance of a specific type. You will also learn how to create and use Service Control Policies (SCPs) through Organizations to manage AWS service use across all your accounts centrally.
The Getting Started on AWS deck serves to introduce Amazon users and prospective customers to the Amazon VPC, EC2 and the concepts and components that are necessary building Fault Tolerant & High Available environments on AWS. It also serves to introduce services like Direct Connect, Router53 (Amazon DNS Service) and one of our new additions, the Amazon
Application Load Balancer (ALB). After perusing this deck, users should have a better understanding of what these services are and their propose benefits.
AWS provides security capabilities and services to provide control over your AWS resources, how they are accessed, who can access them, and what privileges they are allowed. Access Management, Identity management, change control, and auditing can all be achieved both at a macro and granular level. In this session we’ll explore services such as AWS Identity Access Management (IAM), AWS CloudTrail, Amazon Directory Service and Amazon Inspector, so that you understand how use them effectively to manage user privilege and access. We’ll also look at Amazon Virtual Private Cloud (VPC) and how to use it’s features to build security at the network access layer. After this session you should understand and be able to: Configure Users, Groups, and Roles to manage actions, Configure monitoring and logging to audit changes in your system, and Design your AWS network using VPC for security.
Amazon EC2 forms the backbone compute platform for hundreds of thousands of AWS customers, but how do you go beyond starting an instance and manually configuring it? This webinar takes you on a journey starting with the basics of key creation and security groups and ending with an Auto Scaling application driven by dynamic policies. It will explain the tools you need to create an Auto Scaling configuration and show you how to bootstrap an instance.
AWS offers you the ability to add additional layers of security to your data at rest in the cloud, providing access control as well scalable and efficient encryption features. Flexible key management options allow you to choose whether to have AWS manage the encryption keys or to keep complete control over the keys yourself. In this session, you will learn how to secure data when using AWS services. We will discuss data encryption using Key Management Service, S3 access controls, edge and host access security, and database platform security features.
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum EfficiencyAmazon Web Services
In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.
(SOV204) Scaling Up to Your First 10 Million Users | AWS re:Invent 2014Amazon Web Services
Cloud computing gives you a number of advantages, such as the ability to scale your application on demand. If you have a new business and want to use cloud computing, you might be asking yourself, andquot;Where do I start?andquot; Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
AWS re:Invent 2016 : announcement, technical demos and feedbacksEmmanuel Quentin
Slides of our intervention with Mathieu Mailhos about re:Invent 2016 :
- Annoucements
- Technical demonstration of Athena, monitoring via Lambda and step function
- Feedbacks
Scripts available here : https://gist.github.com/manuquentin/adee523b60a4723e9e4819ea69713ab6
Monitoring Containers at Scale - September Webinar SeriesAmazon Web Services
Containers come and go rapidly, which is great for scalable or fast-evolving infrastructure. However, the short life of containers make it more challenging to monitor, leaving many with questions such as: How many containers can you run on a given Amazon EC2 instance type? Which metric should you look at to measure contention? How do you manage fleets of containers at scale? In this session, we'll present the challenges and benefits of running containers at scale, how to use quantitative performance patterns to monitor your infrastructure at this magnitude and complexity, and we'll discuss proven strategies for monitoring your containerized infrastructure on AWS and ECS.
Learning Objectives:
- Set up the infrastructure to monitor your containers running on AWS
- Understand the metrics available and what they mean
- Define a strategy to monitor your containers
Amazon EC2 forms the backbone compute platform for hundreds of thousands of AWS customers, but how do you go beyond starting an instance and manually configuring it? This presentation will take you on a journey starting with the basics of key management and security groups and ending with an explanation of Auto Scaling and how you can use it to match capacity and costs to demand using dynamic policies.
Access a recorded version of the webinar based on this presentation on YouTube here: http://youtu.be/jLVPqoV4YjU
You can find the rest of the Masterclass webinar series for 2015 here: http://aws.amazon.com/campaigns/emea/masterclass/
If you are interested in learning about how you apply variety of different AWS services to specific challenges, please check out the Journey Through the Cloud series, which you can find here: http://aws.amazon.com/campaigns/emea/journey/
Cloud computing gives you a number of advantages, such as being able to scale your application on demand. As a new business looking to use the cloud, you inevitably ask yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We will show you how to best combine different AWS services, make smarter decisions for architecting your application, and best practices for scaling your infrastructure in the cloud.
In this Masterclass Series webinar AWS Technical Evangelist Ian Massingham describes how to create CloudFormation templates that can be used to create and manage stacks of AWS resources, working with the CloudFormation API and with AWS and non-AWS resources. Lastly, he describes techniques that can be used to bootstrap applications and handle updates with AWS CloudFormation.
Continuous Deployment Practices, with Production, Test and Development Enviro...Amazon Web Services
With AWS companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100% API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session we'll talk about some key concepts and design patterns for Continuous Deployment and Continuous Integration, two elements of lean development of applications and infrastructures.
SEC302 Becoming an AWS Policy Ninja using AWS IAM and AWS OrganizationsAmazon Web Services
Are you interested in becoming an expert in managing access to your AWS resources? Have you ever wondered how to best scope down permissions for least privilege access? Do you have multiple AWS accounts and need to know how to manage access to resources centrally? In this session, we take an in-depth look at AWS Identity and Access Management (IAM) and AWS Organizations. You will learn how to quickly create IAM policies to manage fine-grained access to your resources. Throughout the session, we will cover common use cases, such as how to grant a user access to an Amazon S3 bucket or permissions to launch an Amazon EC2 instance of a specific type. You will also learn how to create and use Service Control Policies (SCPs) through Organizations to manage AWS service use across all your accounts centrally.
The Getting Started on AWS deck serves to introduce Amazon users and prospective customers to the Amazon VPC, EC2 and the concepts and components that are necessary building Fault Tolerant & High Available environments on AWS. It also serves to introduce services like Direct Connect, Router53 (Amazon DNS Service) and one of our new additions, the Amazon
Application Load Balancer (ALB). After perusing this deck, users should have a better understanding of what these services are and their propose benefits.
AWS provides security capabilities and services to provide control over your AWS resources, how they are accessed, who can access them, and what privileges they are allowed. Access Management, Identity management, change control, and auditing can all be achieved both at a macro and granular level. In this session we’ll explore services such as AWS Identity Access Management (IAM), AWS CloudTrail, Amazon Directory Service and Amazon Inspector, so that you understand how use them effectively to manage user privilege and access. We’ll also look at Amazon Virtual Private Cloud (VPC) and how to use it’s features to build security at the network access layer. After this session you should understand and be able to: Configure Users, Groups, and Roles to manage actions, Configure monitoring and logging to audit changes in your system, and Design your AWS network using VPC for security.
Amazon EC2 forms the backbone compute platform for hundreds of thousands of AWS customers, but how do you go beyond starting an instance and manually configuring it? This webinar takes you on a journey starting with the basics of key creation and security groups and ending with an Auto Scaling application driven by dynamic policies. It will explain the tools you need to create an Auto Scaling configuration and show you how to bootstrap an instance.
AWS offers you the ability to add additional layers of security to your data at rest in the cloud, providing access control as well scalable and efficient encryption features. Flexible key management options allow you to choose whether to have AWS manage the encryption keys or to keep complete control over the keys yourself. In this session, you will learn how to secure data when using AWS services. We will discuss data encryption using Key Management Service, S3 access controls, edge and host access security, and database platform security features.
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum EfficiencyAmazon Web Services
In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.
(SOV204) Scaling Up to Your First 10 Million Users | AWS re:Invent 2014Amazon Web Services
Cloud computing gives you a number of advantages, such as the ability to scale your application on demand. If you have a new business and want to use cloud computing, you might be asking yourself, andquot;Where do I start?andquot; Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
AWS re:Invent 2016 : announcement, technical demos and feedbacksEmmanuel Quentin
Slides of our intervention with Mathieu Mailhos about re:Invent 2016 :
- Annoucements
- Technical demonstration of Athena, monitoring via Lambda and step function
- Feedbacks
Scripts available here : https://gist.github.com/manuquentin/adee523b60a4723e9e4819ea69713ab6
Bonnes pratiques pour la gestion des opérations de sécurité AWSJulien SIMON
Modèle de sécurité partagée
Protection des données
Gestion des utilisateurs et des autorisations
Journalisation des données
Automatisation des vérifications
AWS re:Invent is the largest global gathering of the Amazon Web Services community held in Las Vegas. Our five-day 2016 agenda, which is comprised of over 400 breakout sessions and attracted over 32,000 attendees, offers expanded opportunities to learn about AWS solutions, how the cloud impacts your business, including deep dives into hot topics including IoT and AI, new perspectives on cloud issues, and more chances to learn from the experts.
Not able to attend? Don’t worry, we are bringing AWS re:Invent to Hong Kong on Jan 19, 2017. Packed into a one-day format, AWS re:Invent 2016 Recap Hong Kong will showcase the key products, services, and enhancements recently announced in Las Vegas; Including new services for Big Data & Analytics, Architecture, Developers and Enterprises, etc. Local AWS customers are also invited to share their post re:Invent perspectives and ongoing successes with AWS so you can learn more from their successful stories.
Come join us at this event to hear new AWS product announcements addressed by the AWS Team!
This presentation covers AWS foundational services such as Amazon EC2, Amazon S3 and Amazon RDS as well as an introduction to AWS deployment tools and techniques and the next steps that you can take to continue developing your knowledge.
Building Better IoT Applications without ServersIan Massingham
This deck introduces the benefits of using a the AWS Cloud to build Connected Device/IoT Applications without running virtual machines or other high-maintenance service components.
Big Data Day LA 2015 - The AWS Big Data Platform by Michael Limcaco of AmazonData Con LA
Introduction to the AWS Big Data platform, including a discussion of popular use cases and reference architectures (e.g., streaming, real-time intelligence, and analytics). We will review the AWS big data portfolio of services including Amazon S3, Kinesis, DynamoDB, Elastic MapReduce (EMR), Redshift, Aurora and Machine Learning, and learn how customers leverage the platform to manage massive volumes of data from a variety of sources while containing costs.
Driving AI Innovation with Machine Learning powered by AWS. AI is opening up new insights and efficiencies in enterprises of every industry. Learn how enterprises are using AWS’ machine learning capabilities combined with its deep storage, compute, analytics, and security services to deliver intelligent applications today. Strategies to develop ML expertise within your org will also be discussed.
Data & AI Platforms — Open Source Vs Managed Services (AWS vs Azure vs GCP)Ankit Rathi
While designing and building Data & AI platforms, you may need to evaluate the options available. Whether your platform would be on-premise or you could use cloud/s services or you would take a hybrid approach.
In any case, you may need to look and evaluate various tools & services for your ingestion, storage, process/analysis and serving layers.
In this post, I have mapped open-source and popular managed cloud services to make our evaluation process a bit easier.
As part of the Introduction to AWS Workshop Series, see how to scale your website from your first user, right up to a complex architecture to support 10 million users.
You are interested in the cloud, and you want to start learning more about cloud computing with Amazon Web Services. In this webinar, we will answer the following questions:
• What is Cloud Computing with AWS and its benefits?
• Who is using AWS and what are they using it for?
• What are AWS’s products and how do I use them to run my workloads?
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing, attend this webinar. In this recorded webinar, we answer the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar: http://youtu.be/ybcV0sJ_T_I
Understand the core concepts of “Cloud Computing” and how businesses around the world are running the infrastructure that supports their websites to lower costs, improve time-to-market, and enable rapid scalability matching resource to demands of users. Whether you are an enterprise looking for IT innovation, agility and resiliency or small and medium business who wants to accelerate growth without a big upfront investment in cash or time for technology, the AWS Cloud provides a complete set of services at zero upfront costs which are available with a few clicks and within minutes.
You’re interested in the cloud, and you want to start learning more. In this webinar we will answer the following questions:
• What is Cloud Computing?
• What are the benefits of Cloud Computing?
• What are AWS’s products and what workloads can I run with them?
• Who is using the cloud and what are they using it for?
Understanding AWS Managed Database and Analytics Services | AWS Public Sector...Amazon Web Services
The world is creating more data in more ways than ever before. The average internet user in 2017 generates 1.5GB of data per day, with the rate doubling every 18 months. A single autonomous vehicle can generate 4TB per day. Each smart manufacturing plant generates 1PB per day. Storing, managing, and analyzing this data requires integrated database and analytic services that provide reliability and security at scale. AWS offers a range of managed data services that let customers focus on making data useful, including Amazon Aurora, RDS, DynamoDB, Redshift, Spectrum, ElastiCache, Kinesis, EMR, Elasticsearch Service, and Glue. In this session, we discuss these services, share our vision for innovation, and show how our customers use these services today. Learn More: https://aws.amazon.com/government-education/
Understanding AWS Managed Database and Analytics Services | AWS Public Sector...Amazon Web Services
The world is creating more data in more ways than ever before. The average internet user in 2017 generates 1.5GB of data per day, with the rate doubling every 18 months. A single autonomous vehicle can generate 4TB per day. Each smart manufacturing plant generates 1PB per day. Storing, managing, and analyzing this data requires integrated database and analytic services that provide reliability and security at scale. AWS offers a range of managed data services that let customers focus on making data useful, including Amazon Aurora, RDS, DynamoDB, Redshift, Spectrum, ElastiCache, Kinesis, EMR, Elasticsearch Service, and Glue. In this session, we discuss these services, share our vision for innovation, and show how our customers use these services today. Learn More: https://aws.amazon.com/government-education/
Join us for a series of introductory and technical sessions on AWS Big Data solutions. Gain a thorough understanding of what Amazon Web Services offers across the big data lifecycle and learn architectural best practices for applying those solutions to your projects.
We will kick off this technical seminar in the morning with an introduction to the AWS Big Data platform, including a discussion of popular use cases and reference architectures. In the afternoon, we will deep dive into Machine Learning and Streaming Analytics. We will then walk everyone through building your first Big Data application with AWS.
Join us for a series of introductory and technical sessions on AWS Big Data solutions. Gain a thorough understanding of what Amazon Web Services offers across the big data lifecycle and learn architectural best practices for applying those solutions to your projects.
We will kick off this technical seminar in the morning with an introduction to the AWS Big Data platform, including a discussion of popular use cases and reference architectures. In the afternoon, we will deep dive into Machine Learning and Streaming Analytics. We will then walk everyone through building your first Big Data application with AWS.
An introduction to computer vision with Hugging FaceJulien SIMON
In this code-level talk, Julien will show you how to quickly build and deploy computer vision applications based on Transformer models. Along the way, you'll learn about the portfolio of open source and commercial Hugging Face solutions, and how they can help you deliver high-quality solutions faster than ever before.
Starting your AI/ML project right (May 2020)Julien SIMON
In this talk, we’ll see how you can put your AI/ML project on the right track from the get-go. Applying common sense and proven best practices, we’ll discuss skills, tools, methods, and more. We’ll also look at several real-life projects built by AWS customers in different industries and startups.
Building Machine Learning Inference Pipelines at Scale (July 2019)Julien SIMON
Talk at OSCON, Portland, 18/07/2019
Real-life Machine Learning applications require more than a single model. Data may need pre-processing: normalization, feature engineering, dimensionality reduction, etc. Predictions may need post-processing: filtering, sorting, combining, etc.
Our goal: build scalable ML pipelines with open source (Spark, Scikit-learn, XGBoost) and managed services (Amazon EMR, AWS Glue, Amazon SageMaker)
Optimize your Machine Learning Workloads on AWS (July 2019)Julien SIMON
Talk at Floor 28, Tel Aviv.
Infrastructure, tips to speed up training, hyperparameter optimization, model compilation, Amazon SageMaker Neo, cost optimization, Amazon Elastic Inference
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
4. A Broad Spectrum Of Compute Capabilities In The AWS Cloud
P2M4 D2 X1 G2T2 R3 I2 C4
General Purpose
GPU
General Purpose
Dense storage Large memory
Graphics intensiveMemory intensive High I/O
Compute intensiveBurstable
5. Expanding The T2 Family With Larger Instance Types
Generally Available Today
T2.large
8 GiB
2 vCPU
T2.xlarge
16 GiB
4 vCPU
T2.2xlarge
32 GiB
8 vCPU
2X memory 4X memory
T2.medium
4 GiB
2 vCPU
T2.small
2 GiB
1 vCPU
T2.micro
1 GiB
1 vCPU
T2.nano
0.5GiB
1 vCPU
6. R4: Next Generation
Memory-Optimized
Instances
488 GiB
memory
DDR4
64 vCPUs
L3 cache
R4
2X vCPUs
R3
244 GiB
memory
DDR3
32 vCPUs
L3 cache
Generally Available Today
1.8X size
2X fast
2X memory
High performance databases
Distributed memory caches
In-memory analytics
Genome analysis
7. I2
365k IOPS
32 vCPUs
I3: Next Generation
I/O-Intensive Instances 3.3 million
IOPS
488 GiB
memory
64 vCPUs
15.2 TB
NVMe SSD
I3
2X vCPUs
2X memory
2.3X storage
9X IOPS
Coming Soon
NoSQL databases (Cassandra and MongoDB)
Scale out transactional databases
Data warehousing
Hadoop
Cluster file systems
244 GiB
memory
6.4 TB
SSD
9. A Broad Spectrum Of Compute Capabilities In The AWS Cloud
P2M4 D2 X1 G2T2 R4 I3 C5
General Purpose
GPU
General Purpose
Dense storage Large memory
Graphics intensiveMemory intensive High I/O
Compute intensiveBurstable
10. Elastic GPUs For EC2
Use Graphics GPUs As If They Were EBS Volumes
Preview Available Today
11. Elastic GPUs For EC2:
GPU Acceleration
For Graphics Workloads
1GiB
GPU Memory
2 GiB
4 GiB
8 GiB
Current
Generation
EC2
Instance
12. Simple Workloads Often Have Simple Requirements
Web sites Blogs Dev Environment Prototyping Build Servers
VPC networking
Subnets
IAM policies
Storage
Security groups
14. 1. Choose Image 2. Select Size 3. Pick A Name
Amazon Lightsail: VPS Made Easy on AWS
Two flavors of Linux,
Wordpress, Magneto, Drupal, Joomla
and other popular tools
Up To 8GiB, 2 vCPUs, 80GiB SSD Click ‘Create instance’,
and you’re done.
15. $5
Per month
Amazon Lightsail: VPS Made Easy on AWS
Launch
VM
Attach SSD
Storage
Create Security
Groups
Manage
IAM
Create
Static IP
Create Instance
Created By Amazon Lightsail
Setup
DNS
GO!
17. F1 Instances
New Instance Family With Customizable
Field Programmable Gate Arrays
Run Your Custom Logic On EC2
Preview Available Today
18. Bringing Hardware
Acceleration To All
F1 Instances
F1 Instance
With your custom logic
running on an FPGA
Develop, simulate, debug
& compile your code
Package as
FPGA Images
FPGA Images Available In AWS Marketplace
19. We Love Ourselves Some Compute
General Purpose
GPU
General Purpose
Dense storage Large memoryBurstable
Memory intensive High I/O
Compute intensive
Simple VPS FPGAs
P2M4 D2 X1 G2T2 R4 I3 C5Lightsail F1
Graphics intensive
Elastic GPUs On EC2
20. The Ability to Understand Your Customers And Business Better Through Analytics
Real-time
streaming data
Data
Warehouse
Hadoop, Spark,
HBase, Hive, Presto,
Mahout, Pig, Zeppelin
Elasticsearch Business
Intelligence
Machine
Learning
Amazon
Kinesis
Amazon
Redshift
Amazon
EMR
Amazon
Elasticsearch
Amazon
QuickSight
Amazon
Machine Learning
21. Making Petabyte-scale Analytics
Accessible To Companies Of All Sizes
Data
Warehouse
Amazon Redshift
Hadoop, Spark
& Presto
Amazon EMR
Ad-hoc queries
against S3
Without spinning
up clusters
of instances
22. Amazon Athena
Interactive query service that makes it easy to
analyze data in Amazon S3 using standard SQL
Generally Available Today
23. Amazon Athena: Interactive Queries On Data In S3
No need to move
data to Athena
Query S3 directly
& right away
No infrastructure or
clusters to setup &
manage
Fast results
within seconds
Pay for just the
queries you run
26. Amazon Rekognition: Images In, Categories and Facial Analysis Out
Amazon
Rekognition
Car
Outside
Daytime
Driving
Objects
& Scenes
Female
Smiling
Sunglasses
Faces
27. Amazon Rekognition: Recognize, Search & Understand Images
Easy to use Batch
analysis
Real time
analysis
Low costContinually
improving
28. Amazon Polly
Text To Speech Powered By Deep Learning
Generally Available Today
2
29. Amazon Polly: Text In, Life-like Speech Out
Amazon Polly
“The temperature
in WA is 75°F”
“The temperature
in Washington is 75
degrees Fahrenheit”
30. Amazon Polly: Text In, Life-like Speech Out
Returns an MP3
audio stream
Unlimited
replay
Fully managedLightning fast
responses
31. Amazon ALEXA
(It’s what’s inside Alexa)
Preview Available Today
3
Natural Language Understanding (NLU) &
Automatic Speech Recognition (ASR) Powered By Deep Learning
Natural Language Understanding (NLU) &
Automatic Speech Recognition (ASR) Powered By Deep Learning
32. Amazon Lex: Speech Recognition & Natural Language Understanding
Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the
weather forecast?”
Weather
Forecast
33. Amazon Lex: Speech Recognition & Natural Language Understanding
Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the
weather forecast?”
“It will be sunny
and 75°F”
Weather
Forecast
34. Amazon Lex: Build Natural, Conversational Interactions In Voice & Text
Integrated
development
in the AWS console
Fully
managed
Trigger
Lambda
functions
Continually
improving ASR & NLU
models
Enterprise
connectors
Multi-step
conversations
35. Migrating Databases To AWS
14,000+
databases migrated
Migrate between
on-prem and AWS
Migrate between
databases
Automated schema
conversion
Data replication for
zero downtime
migrations
37. Amazon Aurora PostgreSQL-Compatible Edition
1/10th The Cost Of
Commercial Grade
Databases
Fully PostgreSQL
Compatible
Several times better
performance than typical
PostgreSQL database
Scalable,
Durable and Secure
Migrate From
RDS For PostgreSQL
39. Challenges Of Devices Living On The Edge
Round-trip latency
Intermittent connectivity
Expensive bandwidth
Programming and updating embedded software needs specialized skills
Limited to what is on the device unless you rewrite or program the device
40. AWS Greengrass
Embed Lambda Compute (& Other AWS Services) in
Connected Devices
Preview Available Today
Use The Same AWS Programming Model In Devices And The Cloud
41. AWS Greengrass: Local Compute, Messaging & Data Caching
Local
compute
Local
data caching
Secure
communications
Local
messaging
42. AWS Greengrass: How It Works
Built into
devices at
manufacture
Install the
Greengrass
runtime
Lambda functions
on AWS & devices
Manage from
AWS Console
Same programming
model
Local
communication
and orchestration
48. AWS Snowmobile: 100PB Container
45-foot long
rugged container
& truck
Connect to your
datacenter with
fiber cable
Fill ‘er Up! Transports Data
To AWS